Digital modulation identification in terms of software defined radio for traffic management system

Citation

Bakhraiba, Ahmed Mohamed Salih and Khatun, Sabira and Noordin, Nor Kamariah and Ismail, Alyani and Mohd Ali, Borhanuddin (2008) Digital modulation identification in terms of software defined radio for traffic management system. In: IEEE 2008 6th National Conference on Telecommunication Technologies and IEEE 2008 2nd Malaysia Conference on Photonics (NCTT-MCP 2008), 26-28 Aug. 2008, Putrajaya, Malaysia. (pp. 278-283).

Abstract

Nowadays, a lot of efforts have been given to reduce hardware and software development cost. Many of today's military and commercial communication systems use Software Defined Radio (SDR) technology to create various different hardware combinations in term of software control. In this paper, we present an approach to design a SDR based traffic management system by tuning between two different digital modulation schemes: ASK and FSK. The wavelet transform technique has been used for modulation identification. The performance of the identification scheme is investigated through simulations, for different signal to noise ratio (SNR). The system identification performance is improved more than 95% when SNR is more than 9dB.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/NCTT.2008.4814287
Publisher:	IEEE
Keywords:	Component; Digital modulation; Software defined radio; ASK; FSK
Depositing User:	Nabilah Mustapa
Date Deposited:	11 Jun 2019 02:03
Last Modified:	11 Jun 2019 02:03
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/NCTT.2008.4814287
URI:	http://psasir.upm.edu.my/id/eprint/68897
Statistic Details:	View Download Statistic

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